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Consider the components of a time series as shown below. The correct labels are:
- A – Cyclical fluctuations; B – Trend; C – Seasonal fluctuations; D – Random fluctuations
- A – Seasonal fluctuations; B – Trend; C – Random fluctuations; D – Cyclical fluctuations
- A – Seasonal fluctuations; B – Trend; C – Cyclical fluctuations; D – Random fluctuations
- A – Seasonal fluctuations; B – Cyclical fluctuations; C – Trend; D – Random fluctuations
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- A poll uses responses everal questions to calculate a "Happiness" index that measures overall happiness. An article included the happiness index for the 7 years between 2008 and 2016. Also included in the article were the percentages of people who responded "somewhat agree" or "strongly agree" to the following statements. Statement 1 (happy with life) 1: At this time, I'm generally happy with my life. Statement Year 2008 2009 2010 2011 2013 2015 2016 2 (won't benefit): I won't get much benefit from the things that I do anytime soon. Happiness Index 36 36 34 32 36 33 30 Happy with Life Statement (percentage somewhat or strongly agree) 82 83 78 79 83 80 82 Won't Benefit Statement (percentage somewhat or strongly agree) 31 37 35 39 39 37 42 (a) Calculate the value of the correlation coefficient for Happiness index and the response to the Happy with life statement. (Round your answer to four decimal places.) 0.8321 x (b) Calculate the value of the correlation coefficient for Happiness…Building Year of sale 1 2005 1 2005 2 2007 2007 2004 2007 2007 2008 2008 2008 ID Property # Area (ft.) Price 1030 11 Apartment 30 743.09 $ 246,172.68 1029 10 Apartment 29 756.21 $ 246,331.90 2002 7 Apartment 2 587.28 $ 209,280.91 2031 12 Apartment 31 1604.75 $ 452,667.01 1049 11 Apartment 49 1375.45 $ 467,083.31 3011 9 Apartment 11 675.19 $ 203,491.85 3026 9 Apartment 670.89 $ 212,520.83 3023 1 Apartment 720.81 $ 198,591.85 1031 6 Apartment $ 265,467.68 782.25 794.52 4023 3 Apartment $ 235,633.26 Customer Entity Name Surname Interval Gender Country State ID C0028 Individual Madalyn Mercer 19 18-25 F USA California Home C0027 Individual Lara Carrillo 22 18-25 F USA California Home C0112 Individual Donavan Flowers 22 18-25 M USA California Home C0160 Individual Darien Dorsey 22 18-25 M USA California Investment C0014 Individual Alessandra Perry 25 18-25 F USA California Home C0125 Individual Kaitlin Owen 26 26-35 F USA Virginia Investment C0125 Individual Kaitlin Owen 26 26-35 F USA…The values listed below are waiting times (in minutes) of customers at two different banks. At Bank A, customers enter a single waiting line that feeds three teller windows. At Bank B, customers may enter any one of three different lines that have formed at three teller windows. Answer the following questions. Bank A 6.4 6.6 6.7 6.8 7.1 7.3 7.6 7.9 7.9 7.9 Bank B 4.2 5.4 5.8 6.2 6.7 7.6 7.6 8.5 9.2 10.0 Click the icon to view the table of Chi-Square critical values. Construct a 99% confidence interval for the population standard deviation o at Bank A. 0.36 minCalculate the 3 yearly and 5 yearly moving averages for the following time series : 1988 1989 1990 1991 | 1992| 1993 1994 | 1995 | 1996 1997 1998 Year : Prodn. (in quintals) : 500 540 550 | 530 520 560 600 640 620 610 640Consider the following time series data: Month 1 2 3 4 5 6 7 Value 23 13 20 12 18 21 16In the theory of time series, earthquakes can be considered as a. Seasonal Variation b. Cyclical Variation c. Irregular Variations d. Secular TrendBoran Stockbrokers, Inc., selects four stocks for the purpose of developing its own index of stock market behavior. Prices per share for a year 1 base period, January year 3, and March year 3 follow. Base-year quantities are set on the basis of historical volumes for the four stocks. Stock A B C D Jan Mar Stock = = A - B с D Industry Oil Computer Steel Real Estate January Year 1 Quantity 100 150 75 50 Price per Share ($) March Year 1 Base 31.50 65.00 40.00 16.00 Compute the price relatives for the four stocks making up the Boran index. (Round your answers to one decimal place.) Price Relative January Year 3 22.75 49.00 32.00 6.50 March Year 3 22.50 47.50 29.50 Use the weighted average of price relatives to compute the January year 3 and March year 3 Boran indexes. (Round your answers to one decimal place.) I, 2.75Can you provide any explanation for these results? For THE 3 TABS BELOW: Tab 1, Tab 2 & Tab 3 TAB 1. Year Age of Miss America Murder by steam, hot vapors and hot objects Dev(x) Dev(y) CP 1999 24 7 1.9 2.5 4.69 2000 24 7 1.9 2.5 4.69 2001 24 7 1.9 2.5 4.69 2002 21 3 -1.1 -1.5 1.69 2003 22 4 -0.1 -0.5 0.05 2004 21 3 -1.1 -1.5 1.69 2005 24 8 1.9 3.5 6.60 2006 22 4 -0.1 -0.5 0.05 2007 20 2 -2.1 -2.5 5.32 2008 19 3 -3.1 -1.5 4.78 2009 22 2 -0.1 -2.5 0.23 Mean 22.1 5 Sum 34.45 Standard Deviation 1.75810 2.25227 Covariance 3.45 Correlation Coefficient 0.87013 0.87013 TAB 2 Year Letter in Winning World of Scripps National Spelling Bee Number of people Killed by venomous spider Dev(x) Dev(y) CP 1999 9 6 -1.0 -1.4 1.36 2000 8 5…Year Population 1790 3,929,214 1800 5,308,483 1810 7,239,881 1820 9,638,453 1830 12,866,020 1840 17,069,453 1850 23,191,876 1860 31,443,321 1870 39,818,449 1880 50,155,783 1890 62,947,714 1900 75,994,575 1910 91,972,266 1920 105,710,620 1930 122,775,046 1940 131,669,275 1950 150,697,361 1960 179,323,175 1970 203,302,031 1980 226,545,805 1990 248,709,873 2000 281,421,906 2010 308,745,538 Use excel to calculate the Least Squares Regression Line for the census data? (need to include correct values for a and b) Using the line, you calculated in number 5, what would you predict the population to have been in 1985? EXPLAIN. Should you use the previously calculated Regression Line to predict population in the year 2200? EXPLAIN.Q1) Case Study A survey was conducted to research the question whether more home runs are hit by players in the National League or by players in the American League. A Researcher decide to use the home run leaders from each league for a 40-year period as data. The numbers are shown. [6] National League 47 49 73 38 50 40 65 47 70 49 47 40 43 36 46 35 39 49 37 37 40 37 31 48 48 45 52 38 38 52 36 44 40 48 45 45 36 39 44 47 American League 47 57 52 47 48 56 56 52 50 40 46 43 39 44 51 36 42 49 49 40 43 32 39 22 41 45 46 39 32 36 32 32 37 33 44 49 44 44 49 32 (i) Define a population (ii) what kind of sample was used (iii) do you feel that it is representative (iv) what are your hypotheses? (v) what significance level will you use? (vi) what statistical test will you use? (vii) what are the results? (Assume sigma1 = 8.8 and sigma2=7.8) (viii) 95% CI? (ix) Decision (x) Conclusion (xi) Do you feel that using the data given really answers the original question asked? (xii) what other data might…Boran Stockbrokers, Inc., selects four stocks for the purpose of developing its own index of stock market behavior. Prices per share for a year 1 base period, January year 3, and March year 3 follow. Base-year quantities are set on the basis of historical volumes for the four stocks. Stock A B C Stock D A B C D Industry Oil Computer Steel Real Estate January Year 1 Quantity 100 Need Help? Read It 150 75 50 Price per Share ($) March Year 1 Base 29.50 January Year 3 Compute the price relatives for the four stocks making up the Boran index. (Round your answers to one decimal place.) Price Relative 22.75 16.00 March Year 3 65.00 49.00 49.50 22.50 40.00 31.00 29.50 6.50 2.75 Use the weighted average of price relatives to compute the January year 3 and March year 3 Boran indexes. (Round your answers to one decimal place.) Ijan = IMar =
